Abstract
In this paper, a novel hardware-efficient spiking neuron model based on an asynchronous cellular automaton is proposed. It is shown that the proposed model can exhibit typical nonlinear response curves (so-called IF-curves) such as class 1 excitability without hysteresis, class 2 excitability without hysteresis, and class 2 excitability and class 1 spiking with hysteresis. The proposed model is implemented by an FPGA device and it is shown that the FPGA-implemented proposed model can exhibit the typical nonlinear response curves. Furthermore, it is shown that the proposed model can be implemented by much fewer circuit elements compared to some conventional neuron models that exhibit the typical nonlinear response curves.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
